06755nam 2201825z- 450 991058594160332120231214133633.0(CKB)5600000000483066(oapen)https://directory.doabooks.org/handle/20.500.12854/91137(EXLCZ)99560000000048306620202208d2022 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierHyperspectral Imaging and ApplicationsBaselMDPI - Multidisciplinary Digital Publishing Institute20221 electronic resource (632 p.)3-03921-522-1 3-03921-523-X Due to advent of sensor technology, hyperspectral imaging has become an emerging technology in remote sensing. Many problems, which cannot be resolved by multispectral imaging, can now be solved by hyperspectral imaging. The aim of this Special Issue "Hyperspectral Imaging and Applications" is to publish new ideas and technologies to facilitate the utility of hyperspectral imaging in data exploitation and to further explore its potential in different applications. This Special Issue has accepted and published 25 papers in various areas, which can be organized into 7 categories with the number of papers published in every category included in its open parenthesis. 1. Data Unmixing (2 papers)2. Spectral variability (2 papers)3. Target Detection (3 papers)4. Hyperspectral Image Classification (6 papers)5. Band Selection (2 papers)6. Data Fusion (2 papers)7. Applications (8 papers) Under every category each paper is briefly summarized by a short description so that readers can quickly grab its content to find what they are interested in.Technology: general issuesbicsscHistory of engineering & technologybicsscbiodiversitypeatlandvegetation typeclassificationhyperspectralin situ measurementshyperspectral image (HSI)multiscale union regions adaptive sparse representation (MURASR)multiscale spatial informationimaging spectroscopyairborne laser scanningminimum noise fractionclass imbalanceAfricaagroforestrytree specieshyperspectral unmixingendmember extractionband selectionspectral variabilityprototype spaceensemble learningrotation forestsemi-supervised local discriminant analysisoptical spectral regionthermal infrared spectral regionmineral mappingdata integrationHyMapAHSraw materialremote sensingnonnegative matrix factorizationdata-guided constraintssparsenessevennesshashing ensemblehierarchical featurehyperspectral classificationband expansion process (BEP)constrained energy minimization (CEM)correlation band expansion process (CBEP)iterative CEM (ICEM)nonlinear band expansion (NBE)Otsu’s methodsparse unmixinglocal abundancenuclear normhyperspectral detectiontarget detectionsprout detectionconstrained energy minimizationiterative algorithmadaptive windowhyperspectral imageryrecursive anomaly detectionlocal summation RX detector (LS-RXD)sliding windowband selection (BS)band subset selection (BSS)hyperspectral image classificationlinearly constrained minimum variance (LCMV)successive LCMV-BSS (SC LCMV-BSS)sequential LCMV-BSS (SQ LCMV-BSS)vicarious calibrationreflectance-based methodirradiance-based methodDunhuang site90° yaw imagingterrestrial hyperspectral imagingvineyardwater stressmachine learningtree-based ensembleprogressive sample processing (PSP)real-time processingimage fusionhyperspectral imagepanchromatic imagestructure tensorimage enhancementweighted fusionspectral mixture analysisfire severityAVIRISdeep belief networksdeep learningtexture feature enhancementband groupinghyperspectral compressionlossy compressionon-board compressionorthogonal projectionsGram–Schmidt orthogonalizationparallel processinganomaly detectionsparse codingKSVDhyperspectral images (HSIs)SVMcomposite kernelalgebraic multigrid methodshyperspectral pansharpeningpanchromaticintrinsic image decompositionweighted least squares filterspectral-spatial classificationlabel propagationsuperpixelsemi-supervised learningrolling guidance filtering (RGF)graphdeep pipelined background statisticshigh-level synthesisdata fusiondata unmixinghyperspectral imagingTechnology: general issuesHistory of engineering & technologyChang Chein-Iedt763028Song MeipingedtZhang JunpingedtWu Chao-ChengedtChang Chein-IothSong MeipingothZhang JunpingothWu Chao-ChengothBOOK9910585941603321Hyperspectral Imaging and Applications3035981UNINA